In our previous blog post, we discussed how organizations deploy new hyperconverged resources into their environments without disrupting existing platforms in place by tracking interdependencies as they integrate hyperconverged infrastructure (HCI) into standard IT monitoring processes. Developing digitally native capabilities while managing ongoing IT operations can be challenging, but with industry wide adoption of HCI, a few key benefits have emerged that are shaping our modern businesses today.

SaaS customers today expect the highest levels of compliance standards when securing their data and ensuring that vendors meet their data confidentiality and privacy needs. An independent validation of security and availability controls becomes more crucial for those in highly regulated industries.

A recent Gartner report states: “Organizations with a cross-discipline cloud strategy are more likely to find success in cloud initiatives and recognize the full benefits of cloud.” Advances in machine learning and AI have opened up avenues for forward-thinking enterprises to drive extensive automation using the latest cloud technologies.

We’re quickly approaching an important inflection point in the cloud migration timeline. 451 Research estimates that by the end of next year, company-owned data centers will dip below 50% of primary IT environments as organizations move their IT investments to the cloud. They’re deciding overwhelmingly that they no longer want pets running their critical applications, they want herds of cattle.

The demand for hyperconverged systems is being fueled by enterprise IT’s need to be more flexible and to emulate the services and speed of public cloud providers. Hyperconvergence eliminates separate storage vendors, storage device troubleshooting and storage networks while providing more granular scalability. The adoption of hyperconverged infrastructure with distributed computing architecture enables large IT teams to add resources on demand with increased flexibility.

Managing the infrastructure monitoring system in a large-scale IT environment can be incredibly tedious. I’d be willing to bet that you’ve run into at least one of these issues or something similar. APIs exist because user interfaces can’t do everything, and we’re all very happy that they do! Zenoss Cloud supports two APIs: a JSON API for bulk administration and a streaming data ingest API to allow a wide variety of devices to publish data directly.

On July 16, 1969, the Apollo 11 space flight launched toward the moon carrying a crew of three. Several days later, on July 20, 1969, the United States successfully landed two humans on the moon. Neil Armstrong and Buzz Aldrin later relaunched from the moon’s surface to join Michael Collins and return to Earth, splashing down in the Pacific Ocean on July 24, 1969.

In our previous blog post, we discussed how AIOps tools can help analyze unstructured data to identify higher-level correlations that traditional IT monitoring tools wouldn’t be capable of. IT Ops teams are constantly bombarded with complex machine data, and to better monitor and troubleshoot IT environments, you must analyze and gain an accurate understanding of this data to evaluate how your systems are performing and proactively resolve any issues that may occur.

Zenoss is very pleased to announce the general availability of Resource Manager 6.4, Service Impact 5.5.1 and Control Center 1.6.5 along with upgrades to related ZenPacks. These updates are included in the latest release of Zenoss Cloud and Zenoss as a Service, as well as in Zenoss Service Dynamics 6.4.